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» Algorithm Selection using Reinforcement Learning
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141
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ATAL
2008
Springer
15 years 4 months ago
Analysis of an evolutionary reinforcement learning method in a multiagent domain
Many multiagent problems comprise subtasks which can be considered as reinforcement learning (RL) problems. In addition to classical temporal difference methods, evolutionary algo...
Jan Hendrik Metzen, Mark Edgington, Yohannes Kassa...
ICAC
2009
IEEE
15 years 5 days ago
Using distributed w-learning for multi-policy optimization in decentralized autonomic systems
Distributed W-Learning (DWL) is a reinforcement learningbased algorithm for multi-policy optimization in agent-based systems. In this poster we propose the use of DWL for decentra...
Ivana Dusparic, Vinny Cahill
129
Voted
ESANN
2008
15 years 3 months ago
Multilayer Perceptrons with Radial Basis Functions as Value Functions in Reinforcement Learning
Using multilayer perceptrons (MLPs) to approximate the state-action value function in reinforcement learning (RL) algorithms could become a nightmare due to the constant possibilit...
Victor Uc Cetina
CORR
2010
Springer
124views Education» more  CORR 2010»
15 years 2 months ago
Mimicking the Behaviour of Idiotypic AIS Robot Controllers Using Probabilistic Systems
Previous work has shown that robot navigation systems that employ an architecture based upon the idiotypic network theory of the immune system have an advantage over control techn...
Amanda M. Whitbrook, Uwe Aickelin, Jonathan M. Gar...
CORR
2010
Springer
126views Education» more  CORR 2010»
15 years 2 months ago
The Use of Probabilistic Systems to Mimic the Behaviour of Idiotypic AIS Robot Controllers
Previous work has shown that robot navigation systems that employ an architecture based upon the idiotypic network theory of the immune system have an advantage over control techn...
Amanda M. Whitbrook, Uwe Aickelin, Jonathan M. Gar...